Which of the following method is used to find the inverse z-transform ...
Explanation: All the methods mentioned above can be used to calculate the inverse z-transform of the given signal.
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Which of the following method is used to find the inverse z-transform ...
Introduction:
The inverse z-transform is a mathematical operation used to convert a given function in the z-domain back to the time-domain. It is often necessary to find the inverse z-transform in order to analyze and understand the behavior of discrete-time systems.
Methods to find the inverse z-transform:
There are several methods to find the inverse z-transform of a signal. These methods include:
1. Counter integration:
In this method, the inverse z-transform is found by directly applying the definition of the z-transform. The z-transform of a discrete-time signal is defined as the sum of the signal samples multiplied by powers of the complex variable z. To find the inverse z-transform, we can integrate the z-transform expression term by term using standard integration techniques.
2. Expansion into a series of terms:
Sometimes, the inverse z-transform cannot be found directly using counter integration. In such cases, the signal can be expanded into a series of terms using partial fraction expansion or other algebraic manipulation techniques. Each term in the series can then be individually inverse z-transformed using known z-transform pairs or by applying other techniques.
3. Partial fraction expansion:
Partial fraction expansion is a method used to decompose a rational function into a sum of simpler fractions. This method is often used when the z-transform of a signal is a rational function. By decomposing the rational function into simpler fractions, the inverse z-transform can be found by applying known z-transform pairs or by using other techniques.
Conclusion:
To find the inverse z-transform of a signal, various methods can be used depending on the complexity of the signal and the available techniques. These methods include counter integration, expansion into a series of terms, and partial fraction expansion. It is important to choose the appropriate method based on the given signal and the desired level of accuracy in the time-domain representation.